Feature Recognition of Low-resolution Fiber Image

作     者：禹素萍 曾培峰 吴雄英 陈建平 

作者机构：State Key Laboratory on Fiber-Optic Local Area Network and Advanced Optical Communication Systems Shanghai Jiaotong University Shanghai 200030College of Information Science and Technology Donghua University Shanghai 201620 College of Computer Science and Technology Donghua University Shanghai 201620 Shanghai Entry-Exit Inspection and Quarantine Bureau of P. R. C. Shanghai 200135 State Key Laboratory on Fiber-Optic Local Area Network and Advanced Optical Communication Systems Shanghai Jiaotong University Shanghai 200030 

出 版 物：《Journal of Donghua University(English Edition)》 (东华大学学报（英文版）)

年 卷 期：2006年第23卷第4期

页      面：63-68页

核心收录：

学科分类：08[工学] 0805[工学-材料科学与工程（可授工学、理学学位）] 080502[工学-材料学] 

基　　金：Supported by Foundation of National Excellent Doctoral Dissertation of China (No.200350)   NSFC (No.90204006 60377013)  863Project (No.2005AA122110)  the Ministry of Education  China (No.20030248035) 

主　　题：B-spline interpolation edge detection multiresolution fiber image processing. 

摘      要：The interpolatory edge operator is applied to the recognition of cotton and ramie fibers. Its performance is studied in comparison with the Canny edge operator in the fiber’s edge detection for cross-sectional image. The input image is interpolated other than Gaussian function smoothing. The quality of edge output is improved by the interpolatory edge operator. It produces edge output with good continuity for low-resolution input. The fine edge output, such as cross-markings, can be distinguished clearly, so the interpolatory edge operator is suitable for the study of cotton and ramie fibers. Furthermore, the application of the interpolatory edge operator can cut the hardware cost, reduce the storage and speed up the data transmission.